[NIPS 2020] Pruning Paper List

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Scientific Control for Reliable Neural Network Pruning

Pruning Filter in Filter

Neuron-level Structured Pruning using Polarization Regularizer

Directional Pruning of Deep Neural Networks

Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning

Movement Pruning: Adaptive Sparsity by Fine-Tuning

The Generalization-Stability Tradeoff In Neural Network Pruning

Pruning neural networks without any data by conserving synaptic flow

Network Pruning via Greedy Optimization: Fast Rate and Efficient Algorithms

HYDRA: Pruning Adversarially Robust Neural Networks

Logarithmic Pruning is All You Need

Bayesian Bits: Unifying Quantization and Pruning

Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient

The Lottery Ticket Hypothesis for the Pre-trained BERT Networks

WoodFisher: Efficient Second-Order Approximation for Neural Network Compression